Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

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Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)

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收录时间：2024-12-01
最近下载：2025-09-01

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文件列表

  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/005. 4.4 Case Study Predicting with Amazon Reviews Part 2.mp4 175.5 MB
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4 151.0 MB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/007. 7.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4 133.8 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/003. 8.2 BERT for Multi-label Classification Part 2.mp4 132.6 MB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4 127.7 MB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/002. 1.1 What Are Language Models.mp4 127.1 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/004. 6.3 Fine-Tuning an Embedding Model to Capture User Behavior.mp4 120.2 MB
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4 119.0 MB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.mp4 114.3 MB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/004. 7.3 Case Study Visual QA Setting Up Our Model.mp4 113.8 MB
  • Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/003. 9.2 Knowledge Distillation.mp4 113.6 MB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/005. 7.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4 108.3 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/007. 8.6 Instruction Alignment of LLMs Reward Modeling.mp4 104.6 MB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4 102.3 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/004. 8.3 Writing LaTeX with GPT-2.mp4 95.3 MB
  • z.quick-start-guide-to-llms-main/data/comparison_data_v2.json 81.5 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/003. 6.2 Using OpenAI s Embedding Models.mp4 74.8 MB
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4 67.8 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/008. 8.7 Instruction Alignment of LLMs RLHF.mp4 65.9 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/009. 8.8 Instruction Alignment of LLMs Using Our Instruction Aligned LLM.mp4 60.7 MB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/006. 7.5 Introduction to Reinforcement Learning from Feedback.mp4 59.2 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/002. 8.1 BERT for Multi-label Classification Part 1.mp4 58.3 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/002. 6.1 Case Study Building an Anime Recommendation System.mp4 56.4 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/004. 5.3 Chain-of-Thought Prompting.mp4 50.6 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/004. 4.3 Case Study Predicting with Amazon Reviews Part 1.mp4 48.7 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/002. 5.1 InputOutput Validation.mp4 48.6 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/006. 8.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4 43.5 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/003. 5.2 Batch Prompting + Prompt Chaining.mp4 42.2 MB
  • Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/002. 9.1 Cost Projecting and Deploying LLMs to Production.mp4 42.0 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/005. 8.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses SAWYER.mp4 33.0 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/003. 4.2 The OpenAI Fine-Tuning API.mp4 31.3 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/006. 5.5 Assessing an LLM's Encoded Knowledge Level.mp4 29.2 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/002. 4.1 Transfer Learning A Primer.mp4 27.6 MB
  • Summary/001. Quick Guide to Large Language Models Summary.mp4 25.4 MB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp4 23.5 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/005. 5.4 Preventing Prompt Injection Attacks.mp4 22.6 MB
  • Introduction/001. Quick Guide to Large Language Models Introduction.mp4 22.5 MB
  • Module 3 Advanced LLM Usage/001. Module Introduction.mp4 20.7 MB
  • Module 1 Introduction to Large Language Models/001. Module Introduction.mp4 19.2 MB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/003. 7.2 Using Cross Attention to Mix Data Modalities.mp4 18.2 MB
  • Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp4 17.6 MB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp4 17.0 MB
  • z.quick-start-guide-to-llms-main/data/pds2.pdf 16.7 MB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/002. 7.1 The Vision Transformer.mp4 13.5 MB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/001. Topics.mp4 6.2 MB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/001. Topics.mp4 6.1 MB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/001. Topics.mp4 6.1 MB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/001. Topics.mp4 6.1 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/001. Topics.mp4 6.0 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/001. Topics.mp4 5.7 MB
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/001. Topics.mp4 4.8 MB
  • Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/001. Topics.mp4 4.7 MB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/001. Topics.mp4 3.9 MB
  • z.quick-start-guide-to-llms-main/notebooks/09_using_our_vqa.ipynb 3.7 MB
  • z.quick-start-guide-to-llms-main/notebooks/05_openai_app_review_fine_tuning.ipynb 2.1 MB
  • z.quick-start-guide-to-llms-main/notebooks/10_anime_category_classification_model_freezing.ipynb 1.6 MB
  • z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_USE_SAWYER.ipynb 1.5 MB
  • z.quick-start-guide-to-llms-main/notebooks/04_agent.ipynb 1.4 MB
  • z.quick-start-guide-to-llms-main/notebooks/06_adv_prompt_engineering.ipynb 1.1 MB
  • z.quick-start-guide-to-llms-main/notebooks/07_recommendation_engine.ipynb 1.1 MB
  • z.quick-start-guide-to-llms-main/notebooks/12_llm_gen_eval.ipynb 1.0 MB
  • z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_RLF.ipynb 774.6 kB
  • z.quick-start-guide-to-llms-main/notebooks/12_llm_calibration.ipynb 677.3 kB
  • z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_LLAMA_SFT.ipynb 631.4 kB
  • z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_2.ipynb 486.5 kB
  • z.quick-start-guide-to-llms-main/notebooks/11_llama_quantization.ipynb 448.8 kB
  • z.quick-start-guide-to-llms-main/notebooks/02_semantic_search.ipynb 448.5 kB
  • z.quick-start-guide-to-llms-main/notebooks/12_cluster.ipynb 447.1 kB
  • z.quick-start-guide-to-llms-main/notebooks/09_flan_t5_rl.ipynb 440.9 kB
  • z.quick-start-guide-to-llms-main/notebooks/09_constructing_a_vqa_system.ipynb 334.1 kB
  • z.quick-start-guide-to-llms-main/notebooks/10_optimizing_fine_tuning.ipynb 321.4 kB
  • z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_1.ipynb 317.5 kB
  • z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_Reward_Model.ipynb 237.8 kB
  • z.quick-start-guide-to-llms-main/images/qsllm2e.jpg 122.7 kB
  • z.quick-start-guide-to-llms-main/notebooks/05_bert_app_review.ipynb 103.6 kB
  • z.quick-start-guide-to-llms-main/notebooks/10_latex_gpt2.ipynb 66.8 kB
  • z.quick-start-guide-to-llms-main/images/qsllm.jpeg 65.2 kB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.en.srt 47.9 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/005. 4.4 Case Study Predicting with Amazon Reviews Part 2.en.srt 46.3 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/003. 8.2 BERT for Multi-label Classification Part 2.en.srt 41.7 kB
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.en.srt 39.4 kB
  • z.quick-start-guide-to-llms-main/notebooks/03_prompt_engineering.ipynb 36.6 kB
  • Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/003. 9.2 Knowledge Distillation.en.srt 34.5 kB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/002. 1.1 What Are Language Models.en.srt 34.3 kB
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.en.srt 33.1 kB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/004. 7.3 Case Study Visual QA Setting Up Our Model.en.srt 32.4 kB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/007. 7.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.en.srt 31.9 kB
  • z.quick-start-guide-to-llms-main/images/gpt3_paper.png 31.2 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/004. 8.3 Writing LaTeX with GPT-2.en.srt 31.1 kB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.en.srt 30.8 kB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.en.srt 29.4 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/004. 6.3 Fine-Tuning an Embedding Model to Capture User Behavior.en.srt 28.8 kB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/005. 7.4 Case Study Visual QA Setting Up Our Parameters and Data.en.srt 27.5 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/007. 8.6 Instruction Alignment of LLMs Reward Modeling.en.srt 26.9 kB
  • z.quick-start-guide-to-llms-main/notebooks/04_rag_retrieval.ipynb 26.4 kB
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.en.srt 23.4 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/002. 8.1 BERT for Multi-label Classification Part 1.en.srt 20.7 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/008. 8.7 Instruction Alignment of LLMs RLHF.en.srt 19.5 kB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/006. 7.5 Introduction to Reinforcement Learning from Feedback.en.srt 18.5 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/003. 6.2 Using OpenAI s Embedding Models.en.srt 17.2 kB
  • z.quick-start-guide-to-llms-main/data/latex-guide-cos423.txt 16.7 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/009. 8.8 Instruction Alignment of LLMs Using Our Instruction Aligned LLM.en.srt 16.7 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/004. 4.3 Case Study Predicting with Amazon Reviews Part 1.en.srt 15.8 kB
  • Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/002. 9.1 Cost Projecting and Deploying LLMs to Production.en.srt 15.3 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/004. 5.3 Chain-of-Thought Prompting.en.srt 14.8 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/002. 5.1 InputOutput Validation.en.srt 14.5 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/006. 8.5 Instruction Alignment of LLMs Supervised Fine-Tuning.en.srt 14.4 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/002. 6.1 Case Study Building an Anime Recommendation System.en.srt 13.5 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/005. 8.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses SAWYER.en.srt 12.8 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/003. 5.2 Batch Prompting + Prompt Chaining.en.srt 11.8 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/002. 4.1 Transfer Learning A Primer.en.srt 9.9 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/003. 4.2 The OpenAI Fine-Tuning API.en.srt 9.2 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/005. 5.4 Preventing Prompt Injection Attacks.en.srt 7.8 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/006. 5.5 Assessing an LLM's Encoded Knowledge Level.en.srt 7.8 kB
  • z.quick-start-guide-to-llms-main/README.md 7.2 kB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.en.srt 6.9 kB
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/conversation_utils.py 5.7 kB
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/api.py 5.5 kB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/004. 1.3 Applications of LLMs.en.srt 5.1 kB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/003. 7.2 Using Cross Attention to Mix Data Modalities.en.srt 4.9 kB
  • Module 3 Advanced LLM Usage/001. Module Introduction.en.srt 4.7 kB
  • Summary/001. Quick Guide to Large Language Models Summary.en.srt 4.7 kB
  • Module 1 Introduction to Large Language Models/001. Module Introduction.en.srt 4.2 kB
  • Introduction/001. Quick Guide to Large Language Models Introduction.en.srt 4.1 kB
  • Module 2 Getting the Most Out of LLMs/001. Module Introduction.en.srt 3.4 kB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/002. 7.1 The Vision Transformer.en.srt 3.4 kB
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/README.md 3.4 kB
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/chunking_utils.py 2.0 kB
  • Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/001. Topics.en.srt 1.1 kB
  • Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/001. Topics.en.srt 1.1 kB
  • Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/001. Topics.en.srt 1.1 kB
  • Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/001. Topics.en.srt 1.0 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/001. Topics.en.srt 1.0 kB
  • Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/001. Topics.en.srt 1.0 kB
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/retrieval_utils.py 947 Bytes
  • Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/001. Topics.en.srt 906 Bytes
  • Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/001. Topics.en.srt 811 Bytes
  • Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/001. Topics.en.srt 593 Bytes
  • z.quick-start-guide-to-llms-main/.gitignore 285 Bytes
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/Dockerfile 214 Bytes
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/requirements.txt 151 Bytes
  • z.quick-start-guide-to-llms-main/data/anime/rating_complete.csv 134 Bytes
  • z.quick-start-guide-to-llms-main/data/chip2.csv 133 Bytes
  • z.quick-start-guide-to-llms-main/data/pre_merged_anime.csv 132 Bytes
  • z.quick-start-guide-to-llms-main/data/anime/pre_merged_anime.csv 132 Bytes
  • z.quick-start-guide-to-llms-main/data/english_to_latex.csv 129 Bytes
  • z.quick-start-guide-to-llms-main/data/anime/watching_status.csv 127 Bytes
  • z.quick-start-guide-to-llms-main/semantic-search-fastapi/.env 121 Bytes
  • z.quick-start-guide-to-llms-main/requirements.txt 89 Bytes
  • z.quick-start-guide-to-llms-main/.gitattributes 42 Bytes

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